AI Engineer

Must Have Technical/Functional Skills

• Primary: Artificial intelligence/AI
• Secondary: Python, NLP, Agile tools
• Experience: 5 to 8

Roles & Responsibilities

• Expert Python development skills
• hands on experience in application development in one or more areas MongoDB, Redis, Elastic Search, Angular/React Frameworks(Prefer React), Containerization.
• experience with AI/ML/GenAI Lifecycle Management and Development and its Ecosystem, NLP, RASA framework
• Hands on experience building Sprint Boot APIs and Java ecosystem.
• Building API based application leveraging FAST API services, JWT Integration, API Gateway.
• Working in large sized teams that collaboratively develop on a shared multi-repo codebase using IDEs(e.g. VS Code rather than Jupyter Notebooks), Continuous Integration(CI), Continuous Deployment(CD) and Continuous Testing.
• Hands-on DevOps experience with one or more of the following enterprise development tools: Version Control(GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality(SonarQube and pytest Unit Testing), Artifact Management(Artifactory) and Deployment(Ansible)

Job Responsibilities:

• Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements.
• Utilizes multiple architectural components ( across data, application, business) in design and development of client requirements.
• Performs continuous integration and continuous development ci-cd activities.
• Contributes to story refinement and definition of requirements.
• Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle.

Desired Qualifications